timothy sykes logo

Trading Lessons

Can AI like XGPT Level The Playing Field For Traders?

Timothy SykesAvatar
Written by Timothy Sykes
Updated 11/16/2023 4 min read

Have you ever felt like Wall Street has an unfair advantage in the stock market?

It’s not a conspiracy theory.

When it comes to certain stocks…Wall Street has a significant information edge over regular folks.

Take for example Nvidia, one of this year’s hottest performing stocks. There are over 30 professional firms covering the stock.

And it isn’t just one individual analyst, these Wall Street power players hire an army to track these mega-cap stocks…

But you’ll likely never get your hands on their research because it’s only shared with their top customers or groups willing to pay a hefty fee for their market intelligence.

Why do you think I trade penny stocks?

Because Wall Street doesn’t care about these companies.

And because of that, I’ve been able to trade with a huge edge for more than two decades.

But I’d be lying to you if I said that penny stock trading hasn’t gotten more competitive.

That’s why having a game-changing tool like XGPT, is more critical than ever.

What is XGPT?

And more importantly, how can it level the playing field for regular folks everywhere?

Introducing XGPT

© Millionaire Media, LLC

XGPT is not just another trading tool…

It’s a game-changer.

How so?

It utilizes the power of AI analysis to forecast stock movements with astonishing precision…and puts it in the hands of regular folks.

Imagine having a tool that can deliver reliable, data-driven insights, reducing a lot of the guesswork many traders deal with…

Five Ways XGPT Levels The Playing Field For Regular Folks

  • Access to Advanced AI Technology. XGPT gives everyday traders access to the type of AI powered trading tools that were previously only available to top tier Wall Street firms and their wealthy clients.
  • Democratizing Information. High level intelligence tools are normally reserved for quant funds and mega banks. XGPT’s accurate forecasting allows traders of all skill levels to make more informed decisions.
  • Reduce Uncertainty. While we never know for certain if a stock will go up or down or by how much…XGPT uses advanced statistics powered by machine learning and AI to forecast stock moves. If it sounds crazy then you’ll want to see this right away.  
  • Potential For Higher Probability Trading. As someone who travels A LOT…I know what it’s like to trade tired and fatigued. And while I do well for myself…there are several opportunities I simply miss. On the other hand, AI doesn’t get tired. Tools like XGPT can potentially guide you in the right direction even when you’re not feeling on top of your game.
  • Empowering Decision-Making. Show the same chart to two different traders and you might get two different opinions. However, AI uses data-driven insights, allowing traders to make informed decisions rather than relying on incomplete information.

Is XGPT The Edge You’ve Been Missing?

Tim Sykes pointing at you.
© Millionaire Media, LLC

The era of Wall Street’s dominance in information and technology is being challenged.

XGPT is not just leveling the playing field; it’s rewriting the rules of the game. 

It’s time for Main Street to take control of their trading destiny.

If you’d like to learn more about XGPT and how it can potentially help you along your trading journey then ====> Check out this demo. 

How much has this post helped you?

Leave a reply

Author card Timothy Sykes picture

Timothy Sykes

Tim Sykes is a penny stock trader and teacher who became a self-made millionaire by the age of 22 by trading $12,415 of bar mitzvah money. After becoming disenchanted with the hedge fund world, he established the Tim Sykes Trading Challenge to teach aspiring traders how to follow his trading strategies. He’s been featured in a variety of media outlets including CNN, Larry King, Steve Harvey, Forbes, Men’s Journal, and more. He’s also an active philanthropist and environmental activist, a co-founder of Karmagawa, and has donated millions of dollars to charity. Read More

* Results are not typical and will vary from person to person. Making money trading stocks takes time, dedication, and hard work. There are inherent risks involved with investing in the stock market, including the loss of your investment. Past performance in the market is not indicative of future results. Any investment is at your own risk. See Terms of Service here

The available research on day trading suggests that most active traders lose money. Fees and overtrading are major contributors to these losses.

A 2000 study called “Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors” evaluated 66,465 U.S. households that held stocks from 1991 to 1996. The households that traded most averaged an 11.4% annual return during a period where the overall market gained 17.9%. These lower returns were attributed to overconfidence.

A 2014 paper (revised 2019) titled “Learning Fast or Slow?” analyzed the complete transaction history of the Taiwan Stock Exchange between 1992 and 2006. It looked at the ongoing performance of day traders in this sample, and found that 97% of day traders can expect to lose money from trading, and more than 90% of all day trading volume can be traced to investors who predictably lose money. Additionally, it tied the behavior of gamblers and drivers who get more speeding tickets to overtrading, and cited studies showing that legalized gambling has an inverse effect on trading volume.

A 2019 research study (revised 2020) called “Day Trading for a Living?” observed 19,646 Brazilian futures contract traders who started day trading from 2013 to 2015, and recorded two years of their trading activity. The study authors found that 97% of traders with more than 300 days actively trading lost money, and only 1.1% earned more than the Brazilian minimum wage ($16 USD per day). They hypothesized that the greater returns shown in previous studies did not differentiate between frequent day traders and those who traded rarely, and that more frequent trading activity decreases the chance of profitability.

These studies show the wide variance of the available data on day trading profitability. One thing that seems clear from the research is that most day traders lose money .

Millionaire Media 66 W Flagler St. Ste. 900 Miami, FL 33130 United States (888) 878-3621 This is for information purposes only as Millionaire Media LLC nor Timothy Sykes is registered as a securities broker-dealer or an investment adviser. No information herein is intended as securities brokerage, investment, tax, accounting or legal advice, as an offer or solicitation of an offer to sell or buy, or as an endorsement, recommendation or sponsorship of any company, security or fund. Millionaire Media LLC and Timothy Sykes cannot and does not assess, verify or guarantee the adequacy, accuracy or completeness of any information, the suitability or profitability of any particular investment, or the potential value of any investment or informational source. The reader bears responsibility for his/her own investment research and decisions, should seek the advice of a qualified securities professional before making any investment, and investigate and fully understand any and all risks before investing. Millionaire Media LLC and Timothy Sykes in no way warrants the solvency, financial condition, or investment advisability of any of the securities mentioned in communications or websites. In addition, Millionaire Media LLC and Timothy Sykes accepts no liability whatsoever for any direct or consequential loss arising from any use of this information. This information is not intended to be used as the sole basis of any investment decision, nor should it be construed as advice designed to meet the investment needs of any particular investor. Past performance is not necessarily indicative of future returns.

Citations for Disclaimer

Barber, Brad M. and Odean, Terrance, Trading is Hazardous to Your Wealth: The Common Stock Investment Performance of Individual Investors. Available at SSRN: “Day Trading for a Living?”

Barber, Brad M. and Lee, Yi-Tsung and Liu, Yu-Jane and Odean, Terrance and Zhang, Ke, Learning Fast or Slow? (May 28, 2019). Forthcoming: Review of Asset Pricing Studies, Available at SSRN: “https://ssrn.com/abstract=2535636”

Chague, Fernando and De-Losso, Rodrigo and Giovannetti, Bruno, Day Trading for a Living? (June 11, 2020). Available at SSRN: “https://ssrn.com/abstract=3423101”